Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Umeå University
- University of Lund
- SciLifeLab
- Linköping University
- Lulea University of Technology
- Nature Careers
- Karlstad University
- Linnaeus University
- Swedish University of Agricultural Sciences
- ;
- Blekinge Institute of Technology
- KTH
- Mälardalen University
- WORLD MARITIME UNIVERSITY (WMU)
- Örebro University
- 6 more »
- « less
-
Field
-
Documented proficiency in Next-Generation sequencing analyses Documented experience in analysis of Next-generation sequencing data, for example, using high high-performance computing, R and python Strong
-
We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
balance among antenna performance, cost, and sustainablity. In this respect, 3D all metal antennas offer potentially many benefits over their planar counterparts, such as efficiency, wider band and scan
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
potential low-symmetry magnetoelectrics 2. Develop workflows for high-throughput screening of material candidates in crystal databases 3. Perform DFT calculations using VASP to evaluate magnetic and
-
establish an adaptive multiscale platform where catalyst performance is computed from first principles. Contract terms and what we offer The PhD-positions are fully funded from start As a PhD student at
-
Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
-
etc.). These applications require well-functioning wireless network systems, with both extremely low latencies, robust and energy efficient connections, and an infrastructure that provides high
-
into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze